5 accepted papers
Optimizing Large Language Model (LLM) performance requires well-crafted prompts, but manual prompt engineering is labor-intensive and often ineffective. Automated prompt optimization techniques address this challenge but the major of them rely on randomly selected evaluation subsets, which fail to r…
It is challenging to scale time series forecasting models such that they forecast accurately for multiple distinct domains and datasets, all with potentially different underlying collection procedures (e.g., sample resolution), patterns (e.g., periodicity), and prediction requirements (e.g., reconst…
Stretchable optical waveguides have been explored as a route to enhancing the sensing capabilities of soft actuators. Certain properties and qualities they possess recommend them for this task – their biological plausibility, compliance, low power consumption, and heightened responsiveness to extern…
Soft grippers have a number of advantages over their conventional stiff-bodied counterparts; not only do they surpass them in ease of fabrication and safety but also, in many cases, require less complex control strategies - due to natural compliance and form-fitting plasticity. Pneumatically actuate…
We explore authentic counterhate arguments for online hateful content toward individuals. Previous efforts are limited to counterhate to fight against hateful content toward groups. Thus, we present a corpus of 54,816 hateful tweet-paragraph pairs, where the paragraphs are candidate counterhate argu…